New Opportunity :Sr. Full Stack Engineer. Location :Pune (Onsite). Company :Apptware Solutions. Experience :5+ years. We're looking for a skilled Full Stack Engineer to join our team. If you have experience in building scalable applications and working with modern technologies, this role is for you. Role & Responsibilities. Develop and maintain scalable web applications using React and Python. Work in Linux environments for development and deployment. Solve coding challenges using Typescript or Python. Ensure performance, security, and scalability of applications. Collaborate with teams to design and ship new features. Troubleshoot and optimize full-stack applications. Contribute to CI/CD pipelines and write automated tests. Preferred Skills. Frontend :React with TypeScript, Tailwind. Backend :Node.js with TypeScript / Python, GraphQL. Testing :Cypress, Integration & Unit Testing. Cloud & DevOps :AWS (Lambda, Cognito, S3, DynamoDB, CloudWatch, CloudFormation). Observability :Honeycomb, Datadog, or similar tools. System :Linux. (ref:hirist.tech). Show more Show less

New Opportunity :FullStack Engineer. Location :Pune (Onsite). Company :Apptware Solutions Hiring. Experience :4+ years. We're looking for a skilled Full Stack Engineer to join our team. If you have experience in building scalable applications and working with modern technologies, this role is for you. Role & Responsibilities. Develop product features to help customers easily transform data. Design, implement, deploy, and support client-side and server-side architectures, including web applications, CLI, and SDKs. Minimum Requirements. 4+ years of experience as a Full Stack Developer or similar role. Hands-on experience in a distributed engineering role with direct operational responsibility (on-call experience preferred). Proficiency in at least one back-end language (Node.js, TypeScript, Python, or Go). Front-end development experience with Angular or React, HTML, CSS. Strong understanding of web applications, backend APIs, CI/CD pipelines, and testing frameworks. Familiarity with NoSQL databases (e.g. DynamoDB) and AWS services (Lambda, API Gateway, Cognito, etc.). Bachelor's degree in Computer Science, Engineering, Math, or equivalent experience. Strong written and verbal communication skills. Preferred Skills. Experience with AWS Glue, Spark, or Athena. Strong understanding of SQL and data engineering best practices. Exposure to Analytical EDWs (Snowflake, Databricks, Big Query, Cloudera, Teradata). Experience in B2B applications, SaaS offerings, or startups is a plus. (ref:hirist.tech). Show more Show less

We are seeking a skilled QA Automation Engineer with 6+ years of experience in automation testing using Cypress and JavaScript. The ideal candidate will design and implement automation frameworks, develop and maintain test scripts, and analyze functional & non-functional test cases. Responsibilities include automating regression and security tests, defect management, reporting test results, and mentoring junior engineers. Strong expertise in test planning, estimation, and defect life cycle is required. Experience with load testing, security testing, and test harness tools is a plus. Excellent communication skills and the ability to collaborate with development teams are essential.

About the Role:We are seeking a highly skilled Lead Data Scientist with 4-8 years of experience to drive innovation in machine learning, deep learning, and generative AI. The ideal candidate should have expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), AI Agents, and hands-on experience in LangChain or LlamaIndex, and Knowledge Graphs. The role also requires strong technical leadership and experience in AI Agent frameworks and libraries.Key Responsibilities:Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization.Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning.Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers.Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments.Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth.Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities.Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services.Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects.Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders.Required Skills and Qualifications:Experience: 4-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering.Generative AI Expertise: Minimum 2 years of experience with gneretaive AI. Hands-on experience with LLMs, RAG, and AI agents.AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., LangGraph, CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.).Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn.LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data.Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications.SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL, etc.) and NoSQL (MongoDB, Cassandra, etc.) database.API Development: Experience in developing APIs using Flask or FastAPI or Django.Cloud & MLOps: Experience working with cloud providers like AWS, GCP, Azure and MLOps best practices.Excellent communication, leadership, and project management skills.Strong problem-solving ability with a focus on delivering scalable, impactful solutions.Preferred Skills:Experience with Computer Vision applications.Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques.Ontology: Understanding of ontologies for knowledge representation in AI systems.Data Engineering: Experience with ETL pipelines and data engineering workflows.Familiarity with big data tools like Spark, Hadoop, or distributed computing.

Job Title: Sr. Full Stack EngineerLocation: Pune (Onsite)Experience: 6+ yearsSkills: React, TypeScript, Python, Node.js, GraphQL, AWS, CI/CD, Cypress, LinuxResponsibilities: Develop & maintain scalable web apps, ensure security & performance, collaborate on new features, troubleshoot issues, and optimize applications.Bachelors or Masters degree in Computer Science, Information Technology, Software Engineering, or a related field.

Were a technology solutions provider dedicated to delivering innovative digital products and services. Ourteam of creative thinkers, tech enthusiasts, and strategic experts istransforming businesses and enhancing user experiences with cutting-edge technology. Were passionate about enabling our partners success, and we invite you to be part of our exciting journey!Position: Data EngineerLocation: PuneExperience Required: 4+ YearsResponsibilities:Be part of a cross-functional Scrum team.Collaborate closely with other R&D functions.Contribute to new feature development.Provide input on system behaviour to Product Owners(POs) and developers.Support customers and internal teams.Analyse and solve product issues.Must-Have Skills:Minimum 4 years of experience as a Data Engineer.Strong hands-on experience with Scala and Vector data base.Experience with AWS cloud services related to data pipeline:EMRS3RedshiftDocument DB/MongoDBSpark StreamingSparkHDFSEducation- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field,Relevant certifications or additional qualifications in Data Engineering or Cloud Technologies are a plus.

About the Role:We are seeking a highly skilled Lead Data Scientist with 4-8 years of experience to drive innovation in machine learning, deep learning, and generative AI. The ideal candidate should have expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), AI Agents, and hands-on experience in LangChain or LlamaIndex, and Knowledge Graphs. The role also requires strong technical leadership and experience in AI Agent frameworks and libraries.Key Responsibilities:Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization.Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning.Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers.Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments.Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth.Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities.Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services.Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects.Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders.Required Skills and Qualifications:Experience: 4-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering.Generative AI Expertise: Minimum 2 years of experience with gneretaive AI. Hands-on experience with LLMs, RAG, and AI agents.AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., LangGraph,CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.).Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn.LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data.Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications.SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL, etc.) and NoSQL (MongoDB, Cassandra, etc.) database.API Development: Experience in developing APIs using Flask or FastAPI or Django.Cloud & MLOps: Experience working with cloud providers like AWS, GCP, Azure and MLOps best practices.Excellent communication, leadership, and project management skills.Strong problem-solving ability with a focus on delivering scalable, impactful solutions.Preferred Skills:Experience with Computer Vision applications.Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques.Ontology: Understanding of ontologies for knowledge representation in AI systems.Data Engineering: Experience with ETL pipelines and data engineering workflows.Familiarity with big data tools like Spark, Hadoop, or distributed computing.

About the Role:We are seeking a highly skilled Lead Data Scientist with 4-8 years of experience to drive innovation in machine learning, deep learning, and generative AI. The ideal candidate should have expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), AI Agents, and hands-on experience in LangChain or LlamaIndex, and Knowledge Graphs. The role also requires strong technical leadership and experience in AI Agent frameworks and libraries.Key Responsibilities:Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization.Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning.Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers.Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments.Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth.Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities.Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services.Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects.Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders.Required Skills and Qualifications:Experience: 4-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering.Generative AI Expertise: Minimum 2 years of experience with gneretaive AI. Hands-on experience with LLMs, RAG, and AI agents.AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., LangGraph,CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.).Programming: Strong proficiency in Python, with experience using TensorFlow, PyTorch, and Scikit-learn.LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data.Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications.SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL, etc.) and NoSQL (MongoDB, Cassandra, etc.) database.API Development: Experience in developing APIs using Flask or FastAPI or Django.Cloud & MLOps: Experience working with cloud providers like AWS, GCP, Azure and MLOps best practices.Excellent communication, leadership, and project management skills.Strong problem-solving ability with a focus on delivering scalable, impactful solutions.Preferred Skills:Experience with Computer Vision applications.Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques.Ontology: Understanding of ontologies for knowledge representation in AI systems.Data Engineering: Experience with ETL pipelines and data engineering workflows.Familiarity with big data tools like Spark, Hadoop, or distributed computing.

ResponsibilitiesDesign, develop, and implement high-quality, scalable, and maintainable Java applications and services.Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.Participate in the entire software development lifecycle, including planning, coding, testing, and deployment.Write clean, efficient, and well-documented code following best practices and coding standards.Troubleshoot and resolve complex issues related to application functionality, performance, and scalability.Conduct code reviews and provide constructive feedback to team members to ensure code quality.Stay up-to-date with industry trends, technologies, and frameworks, and continuously improve technical skills.Mentor and guide junior developers, sharing knowledge and best practices to enhance the overall team's capabilities.Collaborate with stakeholders to understand business requirements and propose innovative solutions.Required SkillsBachelor's or Master's degree in Computer Science, Software Engineering, or a related field.At least 4+ years of hands-on experience in Java development, with a strong emphasis on backend development using frameworks such as Spring, Hibernate, or similar.Proficiency in building RESTful web services and APIs.Solid understanding of object-oriented programming principles, design patterns, and software architecture.Experience with database systems likes of MySQL, PostgreSQL, or Oracle.Strong knowledge of version control systems (e.g., Git) and build tools (e.g., Maven, Gradle).Familiarity with Agile development methodologies and practices.Excellent problem-solving and analytical skills, with strong attention to detail.Ability to work independently as well as collaboratively in a team-oriented environment.Strong communication skills to effectively communicate with technical and non-technical stakeholders.Proven track record of successfully delivering high-quality software projects on time.Preferred:Experience with cloud platforms such as AWS, Azure, or Google Cloud.Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.Knowledge of front-end technologies like HTML, CSS, and JavaScript frameworks (e.g., React, Angular) is a plus.Experience with performance optimization, scalability, and security best practices in Java applications.Join our dynamic and collaborative team, and contribute to the development of innovative software solutions that solve real-world challenges. Apply your expertise and make an impact on our products and customers.Note: Please provide your portfolio, GitHub profile, or any relevant code samples showcasing your development skills along with your application.